Research Fellow
3 days ago
Key Responsibilities:
- Perform research, development, implementation, and experimentation of the autonomous navigation algorithm for mobile robots in smoky environments- Solve challenges in multi modal (4D Radar, 3D Lidar, RGB Camera and Thermal Camera) simultaneous localization and mapping (SLAM), such as outlier robust state estimation, multi-sensor fusion, and gradient-free optimization- Develop multi-modal SLAM software for autonomous robotics based on project requirements- Responsible for robot design and implementation (advise on the sensor mounting for better perceiving and fusion)- Handle other engineering support on software and hardware
Job Requirements:
- Ph.D. degree in automatic control, robotics, etc- Familiar with single/multi-robot SLAM, SLAM back-end solver (Factor Graph, Gradient-free Optimization, Kalman filter), and multi-sensor fusion algorithm- Strong skills in C++, Matlab, Linux, and experience with ROS, and code management tools (git)- Experience with autonomous robotics platforms, and navigation algorithms with different sensors (3D LiDAR, RGB cameras, thermal cameras, IMU)- Experience with real-world robot system design and integration.- Good verbal and written communication skills in English and Chinese as the incumbent is required to liaise with vendors in China- Experience in industrial product commissioning and delivery- Experience with collaborative SLAM for the multi-robot system is a plus- Prior working experience with miili-wave radar is a plus
Hiring Institution: NTU
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